Jobs at Djinni

About the Role

Deep Knowledge Group is seeking a Business Development Manager focused specifically on commercializing the growing portfolio of practical Life Sciences and Longevity products developed through Longevity.Group.

This is not a conventional pharmaceutical or BioTech sales position.

The portfolio combines physical, digital, analytical and commercial products: Longevity Club and Banking Card, Gulf and regional HealthTech intelligence, diagnostics and biomarker intelligence, mLongevity, the Dubai Longevity Constellation, Longevity Blueprints, LBams/API-AMS and other practical longevity and human-performance projects.

Relevant examples:

• Longevity Club: https://www.longevity.group/club
• Longevity Banking Card: https://www.longevity.group/card
• Gulf Longevity Intelligence Group: https://www.longevity.group/glig
• mLongevity: https://www.longevity.group/modular-longevity
• Dubai Longevity Constellation: https://www.longevity.group/constellation

The role is to convert selected parts of this portfolio into customers, paid pilots, commercial partners, licensing agreements, subscriptions, white-label relationships and other measurable commercial outcomes.

Key Responsibilities

• Build product-specific commercial pipelines across assigned Life Sciences/Longevity products.
• Identify the customers, decision-makers and partners with the highest probability of genuine demand.
• Develop clear commercial propositions around technically complex products.
• Approach corporations, investors, healthcare and wellness operators, clinics, developers, governments, financial institutions and other relevant counterparties.
• Lead discovery conversations and understand the operational/commercial problem the counterparty is trying to solve.
• Develop paid pilot, subscription, licensing, white-label, distribution or partnership structures.
• Prepare concise proposals, presentations and commercial follow-ups.
• Work with Product Development to improve products based on real customer feedback.
• Work with MarTech to create campaigns around specific commercial hypotheses.
• Maintain disciplined CRM and opportunity tracking.
• Identify cross-selling opportunities across the Longevity.Group ecosystem.
• Help distinguish products with near-term commercial potential from concepts that require further development.
• Support international commercialization, particularly in strategic markets such as the GCC.
   

Candidate Profile

A conventional BioTech or medical career is not required and is not automatically preferred.

We are primarily looking for a commercially strong, intellectually agile operator who can learn sophisticated Life Sciences and Longevity products rapidly without becoming constrained by established industry assumptions.

Candidates with direct experience in Longevity, HealthTech, quantified self, biohacking, human performance, IHHT/hypoxic training or adjacent practical-health ecosystems are particularly interesting where that experience is combined with real commercial execution.
 

Requirements

• 4+ years of B2B Business Development, partnerships, enterprise sales or commercialization experience.
• Demonstrable history of creating pipeline and closing real commercial opportunities.
• Ability to learn technically complex products quickly.
• Strong relationship-building and negotiation skills.
• Ability to create a commercial proposition rather than simply repeat marketing materials.
• Experience with CRM and full sales-cycle management.
• Strong written proposals and presentation skills.
• Strong practical AI literacy.
• Excellent English.
• High degree of autonomy.
   

Strong Advantages

• Longevity, HealthTech, wellness, human-performance or biohacking industry exposure.
• Experience with subscriptions, licensing, marketplaces, white-label or platform products.
• GCC/UAE network.
• Experience selling to clinics, corporate wellness programmes, investors, governments or HNW-focused services.
• Exposure to FinTech or consumer membership products.
   

What Success Looks Like

Within the first months the role should produce qualified conversations and concrete commercial outcomes against named products, not only a generic Life Sciences contact database.

About the Role

Deep Knowledge Group is seeking a Business Intelligence Analyst to convert operational, commercial and project data into clear management intelligence.

This role is distinct from Market Intelligence.

The Market Intelligence Analyst primarily examines external markets and competitors. The Business Intelligence Analyst primarily asks:

What is happening inside our projects, products and commercial pipelines, why is it happening, and what should management do next?
 

Key Responsibilities

• Build structured reporting around business and project KPIs.
• Analyze revenue, commercial pipeline, conversion, project progress, product usage, costs and operational performance.
• Consolidate information from CRM systems, project trackers, spreadsheets, dashboards and other internal sources.
• Develop management dashboards and recurring executive reporting.
• Identify performance trends, bottlenecks, anomalies and underperforming areas.
• Build simple business cases, financial scenarios and commercial models.
• Analyze funnel performance across marketing, Business Development and partnerships.
• Track product or project performance against plans, milestones and expected outcomes.
• Support management with scenario analysis and decision-ready comparisons.
• Develop forecasts where the underlying data supports them.
• Improve definitions and consistency of business KPIs across teams.
• Coordinate with Data Science where more sophisticated analytical models are required.
• Use external research where necessary to benchmark internal performance.
• Automate recurring data collection and reporting where practical.
• Use AI tools for synthesis, analysis and workflow acceleration while maintaining control over underlying data and calculations.
• Present conclusions succinctly to senior management.
   

Requirements

• 2+ years in Business Intelligence, analytics, strategy, finance, operations analytics or a comparable role.
• Advanced Excel and/or Google Sheets capability.
• Experience building dashboards and management reporting.
• Ability to work with data from multiple imperfect sources.
• Strong analytical reasoning and ability to identify the business implication behind a number.
• Understanding of business KPIs, commercial funnels and operating metrics.
• Strong written and spoken English.
• High attention to detail.
• Ability to work independently and challenge inconsistent data.
   

Strong Advantages

• SQL experience.
• Power BI, Tableau, Looker or similar BI experience.
• Python or other analytical-programming experience.
• Experience with CRM and sales-pipeline data.
• Experience in technology, investment, SaaS, professional services or multi-project environments.
• Financial-modelling or econometrics background.
   

What Success Looks Like

Management should not need to spend hours reconstructing what is happening from separate spreadsheets and messages.

The Business Intelligence Analyst should make the current state, major changes, risks, bottlenecks and decision points visible quickly and reliably.

About the Role

Deep Knowledge Group is seeking Market Intelligence Analysts to research complex technology and innovation markets and translate fragmented external information into clear, decision-ready intelligence.

DKG is a data-driven consortium active across DeepTech and Frontier Technologies, including AI, Longevity, BioTech, FinTech, GovTech, SpaceTech and other advanced industries. Its analytical work supports market intelligence, investment analysis, product development, business development and strategic decision-making.

This role focuses specifically on what is happening outside the organization: markets, competitors, companies, investors, customers, technologies, geographies and emerging opportunities.
 

Key Responsibilities

• Define and structure markets, sectors and analytical categories.
• Conduct market sizing, segmentation and growth analysis.
• Identify major companies, investors, products, technologies and ecosystem participants.
• Conduct competitor benchmarking and comparative analysis.
• Analyze business models, pricing, positioning and market-entry strategies.
• Track market developments, funding, M&A, partnerships, product launches and regulatory or technological changes.
• Build and maintain structured company, investor and ecosystem databases.
• Use OSINT methods to identify and validate relevant information from public sources.
• Analyze specific target companies or accounts for strategic and commercial purposes.
• Identify market gaps, underserved segments and emerging commercial opportunities.
• Produce concise market-intelligence reports, executive summaries, dashboards and presentations.
• Support Product Development with evidence on customer needs and competitive positioning.
• Support Business Development and MarTech with target-segment and account intelligence.
• Maintain transparent source tracking for important facts, figures and assumptions.
• Use AI tools to accelerate research, classification, comparison and synthesis while independently checking important conclusions.
   

Requirements

• 2+ years of experience in market intelligence, competitive intelligence, consulting, research, investment analysis or a comparable analytical function.
• Strong desk-research and OSINT capability.
• Strong analytical and critical-thinking skills.
• Experience working with structured datasets and spreadsheets.
• Ability to distinguish meaningful market signals from promotional noise.
• Ability to present complex information clearly and concisely.
• Strong English writing and presentation skills.
• High level of accuracy and source discipline.
• Ability to rapidly learn unfamiliar technology sectors.
   

Strong Advantages

• Experience with technology, investment, AI, DeepTech, FinTech, HealthTech or comparable innovation markets.
• Experience producing industry databases or ecosystem maps.
• Familiarity with SQL, Python, BI tools or advanced spreadsheet analysis.
• Experience with investor/company databases.
• Experience building market sizing or forecasting models.
   

What Success Looks Like

A strong Market Intelligence Analyst should be able to enter an unfamiliar market and rapidly create a reliable picture of: what the market is, who matters, where value is concentrated, what is changing, where DKG or its counterparties could have an advantage, and what evidence supports that conclusion.

Gamzix is a high-growth international licensed iGaming provider, creating high-performing games and scalable, cutting-edge solutions for the global market.

Our team of 150+ specialists operates globally, with Warsaw as our main hub office. We are driven by continuous improvement and a people-first culture where we communicate openly, win together, and truly enjoy the game we’re building.

We operate under an MGA B2B Critical Supply License and certifications from iTechLabs and GLI, ensuring our products meet high standards of quality, compliance, and performance across markets.

We are looking for an experienced HR People Partner to become a trusted advisor for managers and teams, driving key People initiatives, supporting organizational growth, and ensuring an outstanding employee experience throughout the entire employee lifecycle.

Key Responsibilities

• Partner with managers on people-related decisions, organizational changes, and team development.
• Support the full Employee Lifecycle, from Workforce Planning and Onboarding to Offboarding.
• Drive key People processes, including Onboarding, Probation, Performance Review, Career Development, Salary Review, and Employee Engagement.
• Conduct regular 1:1 meetings with employees to support their growth, engagement, and overall employee experience.
• Coach and consult managers on leadership, performance management, feedback, and employee development.
• Promote and embed the company’s culture and values across assigned teams.
• Develop, review, and improve HR policies, People processes, and internal guidelines to ensure consistency and scalability.
• Analyze People metrics, identify risks, and provide data-driven recommendations to managers and stakeholders.
• Facilitate employee relations cases, conflict resolution, and organizational change initiatives.
• Ensure consistency and quality across People processes and HR practices.
• Foster a positive employee experience and healthy team culture.

Requirements

• 3+ years of experience as an HR People Partner, HR Business Partner, Senior HR Generalist, or in a similar People role within an IT or product company.
• Strong understanding of the full Employee Lifecycle and modern HR/People practices.
• Experience driving Performance Management, Career Development, Employee Relations, Salary Review, and organizational change initiatives.
• Demonstrated ownership mindset with the ability to independently lead People initiatives from idea to implementation.
• Strong business partnering skills and the ability to build trusted relationships with managers at different levels.
• Confidence to challenge decisions, provide constructive feedback, and influence stakeholders through expertise and data.
• Proven ability to prioritize effectively, make decisions independently, and work in a fast-paced environment.
• Analytical mindset with experience using People metrics and HR data to support business decisions.
• Excellent communication, coaching, facilitation, stakeholder management, and conflict resolution skills.
• Experience working with HRIS systems (PeopleForce or similar).
• Upper-Intermediate (B2+) English or higher.

Nice to Have

• Experience working in iGaming, GameDev, SaaS, Product, or other fast-growing international technology companies.
• Experience with Organizational Design, Workforce Planning, or Succession Planning.
• Experience leading HR process optimization and People initiatives at scale.
• Experience facilitating workshops, training sessions, or leadership development programs.
• Experience supporting distributed or international teams.

Benefits

• 7 hour working day 10:00 AM — 6:00 PM (with the lunch break)
• Competitive salary in the IT field, paid taxes
• 10 days for paid sick leave
• 28 days of paid vacation: 18 and 10 days separately
• State holidays are paid
• Medical Insurance
• Courses/training reimbursement
• Referral bonus, if you bring people as talented as you
• Corporate English courses: business or general, morning or evening schedule
• People-oriented company with work-life balance
• Open and friendly communication
• Corporate team buildings and activities

Please note that feedback on your application will be provided within two weeks if a positive decision is made regarding your candidacy.

About the Role

Deep Knowledge Group is seeking a Head of Scientific Publications to build and operate a repeatable system for producing high-quality scientific and strategic publications across DKG's research agenda.

This is not simply a scientific-writing or copy-editing position.

The successful candidate will manage the full publication lifecycle: selecting and structuring topics, coordinating evidence and literature, identifying and engaging external co-authors, managing multi-author inputs, maintaining scientific and reference discipline, preparing manuscripts for submission, coordinating peer review and ensuring that each publication moves from initial concept to completed external output.

DKG works across areas including Longevity, Life Sciences, Space Medicine, human performance, AI and data-driven science. The role therefore requires strong scientific literacy, but not necessarily narrow specialization in one field.
 

Core Mandate

Build a functioning Scientific Publication Engine that can repeatedly transform DKG research, datasets and scientific initiatives into credible peer-reviewed publications and related high-quality outputs.
 

Key Responsibilities

• Maintain a prioritized pipeline and calendar of scientific papers and publication opportunities.
• Convert approved research themes into clear article theses, outlines, evidence requirements, figure plans and publication roadmaps.
• Identify suitable journals and publication routes based on scope, scientific relevance, audience and credibility.
• Build and manage target lists of external scientists and subject-matter experts for multi-author papers.
• Prepare concise co-author briefing materials and personalized outreach.
• Coordinate contributions from internal and external authors without allowing the manuscript to fragment into inconsistent sections.
• Manage literature review, references, figures, tables, scientific claims and supporting source materials.
• Coordinate manuscript drafting, revision, author approval and final consistency checks.
• Manage author affiliations, contribution statements, conflicts of interest, ethics documentation and other submission requirements.
• Prepare journal submissions, cover letters and supporting documentation.
• Coordinate responses to reviewers and revision rounds.
• Maintain rigorous authorship and publication-integrity standards.
• Identify selected publication topics that can also support longer strategic or stakeholder-facing reports while clearly separating scientific content from commercial messaging.
• Build reusable templates, trackers, checklists and workflows so publication management becomes a repeatable institutional capability.
   

Candidate Profile

We are looking for somebody who combines the discipline of a scientific editor with the execution ability of a strong project manager.

The candidate does not need to be the world's leading technical specialist in every subject. They do need to understand sophisticated scientific material sufficiently well to identify weak claims, ask intelligent questions, coordinate experts and know when specialist review is required.
 

Requirements

• 4+ years of experience in scientific publishing, academic editorial work, research programme coordination, scientific communications or comparable work.
• Direct experience with academic manuscripts and journal submission processes.
• Demonstrated experience coordinating multiple authors or contributors.
• Strong understanding of scientific referencing and evidence standards.
• Ability to read biomedical, Life Sciences or other technical literature critically.
• Excellent English writing and editing.
• Strong project-management skills and ability to maintain multiple publication streams simultaneously.
• Strong source-management and version-control discipline.
• Ability to communicate professionally with senior scientists and external experts.
• Practical use of AI for literature organization, source mapping, editorial workflow or drafting support, combined with rigorous human verification.
   

Strong Advantages

• Experience with Longevity, Space Medicine, radiation biology, human performance, preventive medicine, AI in science or related areas.
• Experience recruiting external co-authors.
• Experience managing revisions after peer review.
• Experience with grants, institutional research language or policy-facing scientific materials.
• Existing scientific or academic network.
   

First 90-Day Outcomes

The person should establish a live publication pipeline, functioning author/co-author tracking, repeatable submission and quality-control workflows, and materially advance priority manuscripts toward submission.

Success is measured by completed scientific outputs and functioning publication infrastructure, not by the volume of internal documentation produced.

We’re looking for an experienced QA Engineer to join our product team.

Requirements:

• Strong experience testing web applications
• Experience with functional, regression, integration, and API testing
• Solid understanding of REST APIs and client-server architecture
• Experience with tools such as Postman, Swagger, or similar
• Ability to create clear test cases, checklists, and bug reports
• Good understanding of browser DevTools and debugging
• Experience working closely with developers and product teams
• FinTech experience is required
• Experience with trading, brokerage, payments, banking, or other financial products is a strong plus

Responsibilities:

• Test new features and product releases
• Perform regression and exploratory testing
• Test APIs and backend integrations
• Identify, document, and track bugs
• Validate fixes and ensure release quality
• Help improve QA processes and overall product quality

About the Role

Deep Knowledge Group (www.dkv.global) is seeking a Social Media & Demand Generation Specialist to build high-quality visibility and qualified engagement around DKG, its leadership and its portfolio of projects.

The role is LinkedIn-first, reflecting the concentration of DKG's institutional, technology, investment and partnership audiences there, but may expand into X and other channels where they produce real value.

This is not a conventional social-media/community-management position.

You will work with complex topics spanning AI, DeepTech, Longevity, HealthTech, FinTech, investment analytics and advanced technologies. The objective is not simply to increase posting frequency. It is to make DKG consistently visible to the right people, create intelligent engagement around its work and convert that attention into relevant traffic, relationships, leads, event participation, partnership interest and recruitment interest.
 

Key Responsibilities

• Develop and execute a LinkedIn-first social strategy aligned with DKG's commercial and strategic priorities.
• Manage content and targeted engagement for DKG corporate channels and selected senior-management profiles.
• Write original posts, commentary, reposts and executive thought-leadership content in a credible and appropriate voice.
• Translate sophisticated technical, scientific, analytical and commercial materials into concise social content without distorting or oversimplifying them.
• Research relevant conversations, companies, decision-makers, investors, institutions and experts.
• Build DKG management networks through selective, high-value connection and engagement strategies.
• Engage intelligently with relevant external posts and conversations to increase visibility among target audiences.
• Support major DKG launches, reports, indices, events, product releases, recruitment campaigns and partnership initiatives.
• Create campaign-specific social content around commercial products and priority initiatives.
• Work with MarTech and Business Development to connect social engagement with landing pages, lead capture and CRM.
• Track which content and engagements produce meaningful traffic, conversations and leads.
• Test formats, messages, hooks and posting patterns and optimize based on results.
• Maintain editorial and campaign calendars without allowing process to slow reactive opportunities.
• Use AI tools to accelerate research, drafting, repurposing and analysis while preserving factual accuracy and authentic executive voice.
• Maintain high standards of accuracy when communicating scientific, financial or technical subjects.
   

What We Are Looking For

The strongest candidate combines excellent English writing with commercial instinct.

They should be capable of reading a technical DKG document, understanding why it matters, identifying which part is interesting to a specific external audience and turning that into a concise piece of content that somebody intelligent would actually want to read.

We do not want social activity for its own sake.

A smaller number of interactions with the right investors, executives, institutional decision-makers, scientists, entrepreneurs or partners is more valuable than large volumes of low-quality engagement.
 

Requirements

• 3+ years in B2B social media, content marketing, demand generation, executive communications or related work.
• Excellent English copywriting and editing skills.
• Demonstrated experience growing LinkedIn visibility and engagement for companies or senior executives.
• Strong understanding of LinkedIn distribution, content formats and professional audience behaviour.
• Strong research skills and ability to rapidly understand unfamiliar technical subjects.
• Ability to write naturally in several different executive or corporate voices.
• Ability to distinguish meaningful engagement from vanity metrics.
• Experience using social analytics and performance data.
• Ability to work independently and maintain a demanding publishing cadence.
• Practical familiarity with AI-assisted research and content workflows.
   

Strong Advantages

• Experience with technology, AI, finance, investment, healthcare, Longevity or DeepTech.
• Experience with executive ghostwriting.
• Experience generating B2B leads from content and social engagement.
• Experience supporting product launches, reports, conferences or high-profile announcements.
• Familiarity with X and other specialist technology/investment communities.
• Experience coordinating social campaigns with CRM, email and landing-page funnels.
   

Success Metrics

Success will be judged primarily on:

• growth of the relevant audience rather than follower count alone;
• engagement from target organizations and decision-makers;
• quality and consistency of DKG's executive and corporate voice;
• qualified traffic generated to DKG platforms;
• leads, conversations, registrations and introductions attributable to social activity;
• performance of priority launches and campaigns;
• and the ability to make DKG's complex portfolio intelligible and compelling without reducing it to generic promotional language.

We’re looking for a strong Lead Full-Stack Developer to join our team.

Requirements:

• Strong experience with React / Next.js
• Strong Python / FastAPI backend experience
• Experience leading technical decisions and code reviews
• Solid understanding of scalable production systems
• FinTech experience is required
• Experience with trading, brokerage, payments, banking, or other financial products is a strong plus
  Please note that completing a test assignment is a mandatory part of the hiring process.
• If you’ve read this far, please start your cover letter with the word “apple.”

About the Role

Deep Knowledge Group is (www.dkv.global) seeking a Head of MarTech & Marketing to build a data-driven commercial marketing engine across a complex portfolio of technology, analytics, Longevity and DeepTech initiatives.

This is not primarily a brand-management or corporate-communications position.

DKG already produces large volumes of intellectual property, analytical content, databases, dashboards, reports, indices, websites, product materials and strategic initiatives. The challenge is to turn those assets into systematic visibility, qualified audiences, product demand, commercial leads and measurable conversion.

The successful candidate must therefore combine marketing strategy, marketing technology, demand generation, digital infrastructure, analytics and hands-on execution.
 

The Core Problem to Solve

DKG operates across many specialized projects and audiences.

A campaign may be targeting institutional buyers for an investment-intelligence platform, partners for a UAE ecosystem product, users for Longevity Club, a financial partner for the Longevity Banking Card, decision-makers for a white-label analytics solution, or stakeholders around a major index or industry launch.

The Head of MarTech must create an infrastructure that makes these campaigns repeatable rather than reinvented each time.

The ideal operating model is:

Audience & data → segmentation → message → content/assets → distribution → landing page → CRM → nurture → qualified lead → commercial conversion → measurement → optimization

Key Responsibilities

MarTech Infrastructure

• Design and operate DKG's end-to-end marketing technology stack.
• Own CRM architecture from a marketing and lead-generation perspective.
• Build reliable lead capture from websites, landing pages, forms, events and campaigns.
• Improve contact segmentation, enrichment, tagging and audience profiling.
• Implement email automation, nurture sequences and lifecycle workflows.
• Build attribution and analytics sufficient to understand what actually creates valuable leads.
• Integrate websites, CRM, email systems, analytics, social channels and campaign tools.
• Work with IT on technical implementation without turning marketing into an IT-dependent process.
• Use AI and automation aggressively where they materially improve speed, personalization and quality.
   

Demand Generation

• Develop product-specific demand-generation strategies across DKG's commercial portfolio.
• Convert existing databases and audiences into intelligently segmented outreach rather than indiscriminate mass messaging.
• Design multi-channel campaigns spanning email, social, landing pages, content, events, partnerships, SEO and selective paid promotion.
• Develop acquisition and nurture funnels appropriate to very different audiences, from enterprise executives to investors, partners and individual longevity consumers.
• Continuously test messaging, offers, CTAs, pages and distribution channels.
   

Product Marketing

• Work with Product Development and Business Development to understand each priority product deeply enough to position it credibly.
• Convert sophisticated technical and analytical products into clear value propositions.
• Develop messaging frameworks, customer personas, use cases and commercial narratives.
• Ensure sales materials, websites, landing pages, decks and campaigns tell the same story.
• Support commercial launches for new products and major DKG initiatives.
• Feed campaign and customer-response data back into product and commercial strategy.
   

Marketing Operations

• Build a reusable launch and campaign system for DKG.
• Manage the Social Media / Demand Generation Specialist and coordinate relevant designers, content creators and contractors.
• Maintain marketing dashboards and concise performance reporting.
• Establish practical KPIs tied to business outcomes rather than vanity metrics.
   

Current Product Environment

The role will support a portfolio that can include:

• commercial analytics and investment-intelligence platforms;
• UAE/GCC and other regional ecosystem platforms;
• Longevity Club and associated membership/product infrastructure;
• Longevity Banking Card and marketplace products;
• HealthTech and diagnostics products;
• LBams and API-AMS;
• Dubai Longevity Constellation and related partner/replication propositions;
• white-label analytics and intelligence;
• DKG indices, reports and flagship launches;
• strategic partnerships, recruitment and other high-value Group campaigns.

The portfolio is broad by design. The successful candidate must enjoy learning difficult subject matter and turning it into understandable, attractive and actionable communication.
 

Requirements

• 6+ years in MarTech, growth marketing, demand generation, digital marketing or related roles.
• Demonstrated experience designing and operating end-to-end marketing funnels.
• Strong CRM and marketing-automation experience.
• Experience with email marketing, audience segmentation, lifecycle/nurture systems and database-driven campaigns.
• Strong understanding of landing-page optimization, web conversion and digital analytics.
• Proven history of making marketing decisions using data and experiments.
• Experience supporting B2B or technology products with complex value propositions.
• Ability to work directly with Product and Business Development.
• Strong project-management and cross-functional coordination ability.
• Advanced practical use of AI for content, analysis, personalization, research and workflow automation.
• Excellent written and spoken English.
• Ability to work independently in a fast-moving environment with incomplete information.
   

Strong Advantages

• Experience in AI, FinTech, HealthTech, Longevity, DeepTech, SaaS, data or analytics businesses.
• Experience marketing both B2B and B2C products.
• Experience with international campaigns and multiple geographies.
• Experience building or restructuring a MarTech stack.
• Strong understanding of SEO, paid acquisition, retargeting and attribution.
• Experience with product launches, research-driven marketing or executive thought leadership.
• Hands-on experience with HubSpot or comparable CRM/automation platforms.
   

What Success Looks Like

The objective is to move DKG from project-by-project marketing toward a repeatable demand-generation and commercialization engine.

Marketing should become measurable in terms of:

• qualified audience growth;
• relevant leads generated;
• cost and efficiency of acquisition;
• landing-page and funnel conversion;
• meetings or opportunities generated for BD;
• partner/customer pipeline influenced;
• product adoption;
• and ultimately commercial conversion.

SBC Performance drives scalable growth for brands ready to expand globally.

Working across eCommerce, health & wellness, education, and entertainment, our team helps brands acquire customers faster and scale across 26+ global markets. We combine data-driven paid media, performance creative, and advanced analytics to turn marketing into a predictable revenue engine.

Trusted by 200+ companies, managing $150M+ in ad spend.

Scale faster. Grow smarter.

SBC Performance is looking for a Research & Outreach Specialist to own the end-to-end process of finding, collecting, segmenting, and activating potential clients through email and LinkedIn outreach.

You'll be responsible for consistently growing our CRM with new, relevant leads, preparing and launching outreach campaigns, monitoring email infrastructure health, keeping HubSpot data accurate, supporting LinkedIn content, and delivering clear weekly reporting.

Tools & Platforms: Snov.io, LinkedIn Helper, HubSpot, AI tools, scraping tools, Microsoft Excel / Google Sheets, LinkedIn

What You'll Do

• Build and maintain lead lists based on our ICP, keeping HubSpot clean, segmented, and deduplicated
• Prepare and launch email outreach campaigns via Snov.io, and monitor mailbox health/deliverability
• Prepare and launch LinkedIn outreach campaigns via LinkedIn Helper
• Write email and LinkedIn outreach copy aligned with ICP, segment, and offer
• Manage HubSpot data hygiene and ensure outreach activities log correctly
• Publish LinkedIn content and support content research with the SMM Manager
• Maintain weekly reporting and present results at the performance meeting

What We're Looking For

• Hands-on experience with lead research and database building (ICP-based prospecting)
• Practical experience with email outreach platforms (Snov.io or similar)
• Practical experience with LinkedIn automation tools (LinkedIn Helper or similar)
• Confident working in HubSpot CRM - imports, lists, segmentation, data hygiene
• Comfortable with AI tools and scraping tools to speed up research
• Strong Excel/Google Sheets skills - filters, dedup, segmentation on large datasets
• Ability to write clear, ICP-relevant B2B outreach copy
• Organized, deadline-driven, comfortable owning weekly KPIs and reporting

What We Offer

• Hybrid job in Prague/Warsaw or remote
• Competitive compensation
• Flexible working hours: we start our operation day between 9:00 - 11:00 CET
• All necessary equipment
• Paid vacation and sick leaves
• Educational support: reimbursement of certification, training, and a knowledge-sharing atmosphere
• Company events and multiple internal activities
• Open feedback and transparent direct communication

About the Role

Deep Knowledge Group (https://www.dkv.global/) is seeking a senior specialist in graph intelligence, knowledge graphs and advanced network visualization to help turn large entity datasets into usable relationship intelligence.

Across DKG's analytical platforms, the important question is often not merely “what entities exist?” but:

How are they connected? Which relationships matter? Where are the clusters, central actors, hidden dependencies, emerging ecosystems and strategic gaps?

DKG maintains and develops complex datasets covering companies, investors, technologies, industries, experts, institutions, partnerships, geographical ecosystems and other interconnected entities. The objective of this role is to transform these relationships into scalable analytical systems and interactive intelligence products.
 

Key Responsibilities

• Design graph data models for complex multi-entity analytical datasets.
• Develop knowledge graphs and network-intelligence systems connecting companies, investors, technologies, people, institutions, projects, geographies and other entity types.
• Build pipelines for transforming structured and semi-structured datasets into graph-ready data.
• Work on entity normalization, relationship definitions and graph-schema design.
• Apply network-analysis methods including centrality, clustering, community detection, connectivity analysis and relationship mapping.
• Identify strategically relevant patterns and relationships that conventional tables and dashboards may not reveal.
• Develop interactive graph interfaces that allow users to explore networks without producing unreadable “hairball” visualizations.
• Create layered views, filters, drilldowns and contextual information that make large graphs operationally useful.
• Integrate graph analytics into DKG dashboards, ecosystem platforms and intelligence products.
• Work with data engineers and analysts to ensure graph outputs are analytically valid.
• Build reusable graph components and analytical frameworks for application across different DKG industries.
• Explore graph machine learning or predictive relationship analytics where these provide genuine practical value.
• Document graph schemas, relationships and analytical methodology.
   

Required Skills

• Strong practical experience with graph analytics, network science, knowledge graphs or closely related work.
• Strong Python skills.
• Experience with NetworkX, igraph or comparable graph-analysis libraries.
• Experience with graph databases such as Neo4j, Memgraph, ArangoDB or equivalent.
• Strong understanding of graph schemas, nodes, edges, properties and relationship modelling.
• Experience with advanced graph visualization tools or frameworks such as D3.js, Sigma.js, Graphistry, Gephi or similar.
• Experience cleaning and structuring complex real-world datasets.
• Ability to convert analytical requirements into appropriate graph structures and algorithms.
• Strong understanding of visual usability for large and complex networks.
• Ability to explain graph-derived findings in practical strategic terms.
• Strong English communication skills.
   

Strong Advantages

• Experience with graph machine learning, embeddings or link-prediction techniques.
• Experience with PyTorch Geometric, DGL or comparable graph-ML frameworks.
• Experience building market-intelligence, investment-intelligence, OSINT or ecosystem-mapping products.
• Experience with entity resolution and ontology/taxonomy design.
• Experience integrating graphs into production web applications.
• Familiarity with AI-assisted coding and analytical workflows.
• Exposure to investment analytics, AI, DeepTech, Life Sciences or other complex knowledge domains.
   

What Makes This Role Different

We are not looking for somebody whose main output is visually impressive network diagrams.

The purpose of graph intelligence at DKG is to expose relationships that improve actual analysis and decision-making—for example:

• identifying important companies or investors inside an ecosystem;
• mapping technology-to-company-to-investor relationships;
• identifying clusters and emerging technological concentrations;
• visualizing stakeholder and partnership ecosystems;
• tracing relationships between projects, organizations, markets and strategic opportunities.

The successful candidate must therefore combine graph engineering, analytical reasoning and visual-product design.
 

What Success Looks Like

A successful Graph Intelligence Specialist will create graph systems that become reusable infrastructure across DKG's analytical products: technically robust, analytically meaningful and sufficiently intuitive that users can extract useful insights without needing to understand graph theory.

Mirko Solutions is an international IT company specializing in web and mobile development for clients in the US, Canada, EU, and Australia. We are growing rapidly and are currently looking for an Operations Manager for a new international project.

Key skills:

• Crisis managemen;
• Operational management;
• Jira (or similar tools);
• Analytical and systematic thinking;
• Leadership and communication;
• Organization and ability to multitask.

Responsibilities:

• Implementation and optimization of operational processes for the entire team (40+ people);
• Resource management and task distribution among teams;
• Preventive identification and neutralization of crisis situations, creation of emergency response plans;
• Coordination of work cycles (sprints), checkpoints, and timely completion of key stages;
• Tracking KPIs and budgets, analyzing process efficiency;
• Synchronization of work between departments to achieve strategic goals;
• Preparation of weekly and monthly reports for management.

Requirements:

• Minimum 2 years of experience as an operations or project manager in IT field;
• Experience in successful crisis management and working in stressful situations;
• Deep understanding of the development cycle and team roles;
• Proficient user of Jira or similar tools (Confluence, Asana, Trello);
• Strong leadership and communication skills, ability to motivate a team;
• Analytical approach to risk assessment and decision making;
• Result-oriented and willing to work in a multitasking environment.

We offer:

• Flexible work format: remotely or from the office in Lutsk (Mon-Fri, 09:00—18:00);
• 18 calendar days of paid vacation and 10 sick days per year;
• Opportunity to implement your own ideas in a creative, dynamic team;
• Regular online and offline corporate events and team building activities;
• Support for professional growth and participation in industry conferences.

About the role

Hi, we’re the Findies team, looking for our first dedicated Product QA Engineer. Right now, our dev team uses AI to move incredibly fast, but quality still lives in everyone’s head and gets caught only in the final checks before a release. Your job is to change that. You will own quality across our entire product infrastructure: two mobile apps (iOS & Android) and our web platform.

This is not a typical ’run the checklist’ role. We are looking for a product-minded QA who will build our testing strategy from scratch, align quality with engineering workflows, and directly influence whether we are ready to ship to our users.

Reality Check

We are a fast-moving team transforming how people shop, using non-linear AI experts. This means there are no legacy QA processes or pre-written test plans here yet. You will face constant ambiguity and will need to establish best practices entirely on your own. If you prefer rigid corporate structures and ready-made documentation, this role will likely feel overwhelming. But if you want total ownership and the chance to build a QA ecosystem from zero, you’ll love it here.

Your Mission

• Build the QA foundation from scratch: establish risk maps, design clear test cases, maintain a regression suite, and set up test environments/accounts for our web and mobile applications.
• Embed QA into the SDLC: join features at the requirements stage, define acceptance criteria alongside product and engineering, and implement structured bug triage and release checklists.
• Own critical user flows: validate core customer experiences, including non-linear AI chat interactions, personalized shopping expert recommendations, product search, and database responses.
• Leverage AI tools natively: actively use AI in your daily routine to optimize test coverage, analyze logs, streamline reporting, and keep pace with our development team’s high-speed deployment cycle.
• Drive metrics and monitoring: track and report on crash-free rates, app store performance, support tickets, and API behavior to help prioritize what the engineering team fixes next.

What Makes You the Perfect Fit

• 3+ years of experience in QA roles testing both mobile products (iOS/Android) and web applications.
• Proven track record of building QA infrastructure from scratch, rather than just maintaining an existing framework.
• Strong understanding of client-server architecture and hands-on experience with API testing tools (Postman/Swagger, or Fiddler).
• Solid technical toolkit: comfort analyzing database behaviors (SQL), navigating backend structures, and reviewing logs/crash reports.
• An exceptional eye for detail and product taste: you care deeply about smooth animations, intuitive UI layout (Figma proficiency is a big plus), and the overall consumer feel of a product.
• Extreme autonomy: high ownership and the ability to execute without requiring a manager to hand you a predefined test plan.
• Language: Ukrainian, Upper-Intermediate (B2+) English or higher.

What’s in It for You

• Build your own legacy: you won’t be maintaining someone else’s old code or outdated processes. You will design, implement, and own the entire QA culture and infrastructure from scratch.
• Work at the cutting edge of AI: our development team relies heavily on AI to ship features fast. You will have total freedom to integrate AI tools into your testing workflows, experiment with automated coverage, and push the boundaries of modern QA.
• Direct business impact: your voice matters. You will have a seat at the table with product and engineering leaders, and the direct authority to block a release if it doesn’t meet our product standards.
• Zero bureaucracy: we value speed, common sense, and ownership. There are no useless syncs, rigid hierarchies, or endless approval chains. If something is broken, you fix it.
• Growth and ownership: as the first QA engineer, you will naturally be in the perfect position to lead and scale the quality assurance team as the product grows.

Perks & Benefits

• Remote-First & Coworking Coverage: work remotely, with your coworking space membership covered.
• Time Off to Recharge: 20 working days of fully paid vacation per year, plus paid sick leave.
• Learning & Growth: compensation for professional courses, conferences, specialized workshops, and intensive English training.
• Healthcare: comprehensive medical insurance and access to a corporate doctor.

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.
   

We are currently looking for a Junior Data Analyst to join our growing Tax Data CoE team and support international tax and compliance projects through data analysis, validation, reporting, and process improvement initiatives.

In this role, you will work with large datasets from various client systems, helping teams transform raw data into meaningful insights. You will collaborate closely with data engineers, tax specialists, and engagement teams to ensure data quality, support reporting activities, and contribute to the development of scalable data-driven solutions. The role offers exposure to modern PwC technologies, including Workbench, Databricks, Power BI, and Data Controls Engine (DCE).

Key responsibilities:

• Data Extraction & Processing: Extract, prepare, and analyze data from SAP, Oracle, and other enterprise systems.
• Data Quality & Validation: Perform data validation, reconciliation, and quality checks to ensure accurate and reliable datasets.
• Reporting & Analytics: Create reports, dashboards, and actionable business insights using Excel, Power BI, and SQL.
• Data Automation: Support automation of data collection, transformation, and reporting processes.
• Collaboration: Work closely with engagement teams, tax specialists, and data professionals to deliver data-driven solutions.

Who We're Looking For:

• Junior or Middle-level Data Analyst with up to 2 years of relevant experience.
• Good knowledge of SQL and at least one of the following technologies: Alteryx, Python, or Databricks.
• Experience with data analysis, validation, and reporting activities.
• Familiarity with SAP and/or Oracle databases would be a strong advantage.
• Strong analytical and problem-solving skills.
• Excellent written and spoken English (B2+).

Nice to Have:

• Experience with Power BI, Databricks, or cloud-based analytics platforms.
• Exposure to data warehousing or data platforms.
• Knowledge of financial, tax, or compliance-related data.
• Experience working with large datasets and data transformation activities
  
  Policy statements:
  https://www.pwc.com/ua/uk/about/privacy.html

About Deep Knowledge Group

Deep Knowledge Group (https://www.dkv.global/) builds large-scale analytical databases, investment-intelligence systems, industry ecosystem platforms, competitiveness indices and interactive dashboards across frontier industries including AI, Longevity, HealthTech, DeepTech and QuantumTech.

Our products often involve complex, multidimensional datasets that need to become clear decision-making tools, not simply charts.
 

About the Role

We are seeking a Data Visualization Specialist who can transform complex analytical outputs into intuitive, high-quality interactive visual products.

This role sits between data analysis, frontend visualization and information design. The successful candidate should be capable of understanding what a dataset actually means, selecting the most appropriate visual structure, and implementing it in a form that executives, investors, analysts and other users can understand quickly.

This is not primarily a graphic-design role. Candidates must be comfortable working directly with structured data, APIs and analytical logic.

Key Responsibilities

• Develop interactive dashboards, charts, maps, analytical interfaces and other data-rich visual products.
• Transform complex datasets into clear narratives, comparisons, rankings, trends and decision-support views.
• Select visualization types based on the analytical question rather than defaulting to repetitive chart formats.
• Work directly with analysts and data scientists to understand source data, calculations, assumptions and intended user decisions.
• Develop reusable visualization components that can be applied across multiple DKG platforms.
• Build and maintain interactive visualizations using Python and/or modern JavaScript visualization libraries.
• Integrate data from APIs, databases, Google Sheets and other structured sources.
• Optimize visualization performance for large datasets.
• Improve existing dashboards for readability, responsiveness, visual hierarchy and user experience.
• Ensure labels, units, scales, filters and analytical distinctions are accurate and unambiguous.
• Test visualizations across devices and browsers.
• Use AI-assisted development tools effectively while independently reviewing generated code and analytical outputs.
• Contribute to internal standards for advanced data visualization and analytical storytelling.
   

Required Skills

• Strong portfolio demonstrating sophisticated data visualization work.
• Strong practical experience with Python-based data processing and visualization.
• Experience with libraries/frameworks such as Plotly, D3.js, ECharts, Vega/Vega-Lite or comparable tools.
• Good understanding of Pandas and structured-data manipulation.
• Experience building interactive dashboards or web-based analytical applications.
• Ability to work with APIs and external data sources.
• Strong understanding of visual hierarchy, information density and analytical storytelling.
• Ability to explain complex data clearly to non-technical audiences.
• Strong English communication skills.
• Ability to independently learn unfamiliar industries, taxonomies and datasets.
   

Strong Advantages

• Experience with Flask, FastAPI, React or comparable web application frameworks.
• Experience creating geographical, temporal, hierarchical or multidimensional visualizations.
• Experience with financial, investment, market-intelligence or scientific datasets.
• Knowledge of statistics and analytical methodology.
• Experience designing executive-grade dashboards rather than purely operational BI reports.
• Familiarity with AI-assisted coding and visualization workflows.
   

What We Will Evaluate

Candidates should be prepared to demonstrate actual previous work.

We will place particular weight on whether you can take a difficult dataset and make its main analytical distinctions immediately legible—without oversimplifying the underlying information.

The strongest candidates will combine analytical discipline with strong visual judgment and technical implementation ability.